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字节跳动发布HarnessDev自进化智能体框架
字节跳动Seed团队提出HarnessDev方法,不再评估模型完成任务的表现,而是评估其构建的智能体框架。该框架从弱种子和少量案例开始,构建完整执行系统,再通过下游反馈改进。实验涵盖6个创作者LLM、4个领域和2207个保留下游实例。结果显示,生成的框架在代码和搜索研究方面落后于成熟的人工工程参考,但在写作和机器学习实验方面与之相当或更优。
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字节跳动新出的HarnessDev框架,让AI从完成任务进化到构建智能体,在写作和ML实验上已能匹敌人工工程。
2 sources78° AI heatLast updated 2026/9/2 15:24:02
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